The study looked at whether certain characteristics of stocks are more important for predicting returns or risk. They used a new method called instrumented principal component analysis. The researchers found that characteristics of stocks are both important for predicting returns and risk. In other words, the characteristics of stocks are both covariances and characteristics, depending on what you are trying to predict.